rednote-skill

mrmao007/rednote-skills · updated Apr 8, 2026

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$npx skills add https://github.com/mrmao007/rednote-skills --skill rednote-skill
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summary

This skill allows you to fully interact with the Xiaohongshu (Little Red Book) platform. You can search for posts by keyword and return results, extract content from specific notes to structured markdown format, and perform engagement actions like liking, commenting, collecting, following users, and more.

skill.md

Rednote Skill

This skill allows you to fully interact with the Xiaohongshu (Little Red Book) platform. You can search for posts by keyword and return results, extract content from specific notes to structured markdown format, and perform engagement actions like liking, commenting, collecting, following users, and more.

Configuration and Preparation

Requirements

  • Python 3.7+
  • Playwright (install with pip install playwright)
  • Playwright drivers (install with playwright install)
  • Configured browser environment

Always DO FIRST

Before using this skill, the system will verify your login status:

python scripts/validate_cookies.py

If the output is True, you have normal access and can proceed with search operations.

If the output is False or the login button is visible, the system will automatically execute the manual login procedure:

python scripts/manual_login.py

The system will launch the login interface in a browser window. You'll need to follow the instructions in the opened browser to complete the login process manually, then close the browser after completion.

Usage Steps

1. Environment Setup

Before using this skill, ensure that:

  1. The required dependencies are installed (Python 3.7+, Playwright)
  2. The system will automatically handle the cookie saving via the manual login process when needed
  3. Login status will be validated automatically using the validation utility

2. Using Search Functions

The skill provides several search and extraction functions:

  • Search Notes by Keyword: python scripts/search_note_by_key_word.py <KEYWORD> [--top_n TOP_N]
  • Extract Note Content: python scripts/dump_note.py <NOTE_URL>

3. Using Interaction Functions

The skill provides several interaction functions:

  • Like Note: python scripts/like_note.py <NOTE_URL>
  • Collect Note: python scripts/collect_note.py <NOTE_URL>
  • Comment on Note: python scripts/comment_note.py <NOTE_URL> <COMMENT_TEXT>
  • Follow User: python scripts/follow_user.py <NOTE_URL>
  • Publish Note: python scripts/publish_note.py --image-urls <IMG1 [IMG2 ...]> --title <TITLE> --content <CONTENT> --tags <TAG1 [TAG2 ...]>
  • Validate Login: python scripts/validate_cookies.py
  • Manual Login: python scripts/manual_login.py

4. Complete Workflow

  1. Validate login status before starting interactions
  2. Execute desired search functions if you need to find specific notes
  3. Execute desired interaction functions with proper arguments
  4. Monitor results for successful completion

Function Descriptions

This skill provides the following functions for searching content on and interacting with the Xiaohongshu platform:

Search Notes (search_note_by_key_word.py)

Purpose: Searches for Xiaohongshu notes using the provided keyword.

Parameters:

  • keyword (string): The keyword to search for
  • --top_n (integer, optional): Number of return notes (default is 5)

Returns: List of note URLs that match the keyword

Behavior: Launches browser, searches for the keyword on Xiaohongshu, returns matching note URLs.

Extract Note Content (dump_note.py)

Purpose: Extracts specific note content and converts to formatted markdown.

Parameters:

  • note_url (string): The URL of the note to extract content from

Returns: Structured markdown content including author, title, media, description, tags, and interaction data

Behavior: Launches browser, accesses the note, extracts content and formats to markdown.

Like Note (like_note.py)

Purpose: Likes a specific note on Xiaohongshu using the note URL.

Parameters:

  • note_url (string): The URL of the note to like

Returns: Success or error message indicating if the like was successful

Behavior: Launches browser, navigates to the note URL, clicks the like button, then closes the browser.

Collect Note (collect_note.py)

Purpose: Collects (saves) a specific note to the user's collection.

Parameters:

  • note_url (string): The URL of the note to collect

Returns: Success or error message indicating if the collection was successful

Behavior: Launches browser, navigates to the note URL, clicks the collect button, then closes the browser.

Comment on Note (comment_note.py)

Purpose: Adds a comment to a specific note on Xiaohongshu.

Parameters:

  • note_url (string): The URL of the note to comment on
  • comment_text (string): The text content of the comment

Returns: Success or error message indicating if the comment was published

Behavior: Launches browser, navigates to the note URL, fills in the comment text, clicks the send button, then closes the browser.

Follow User (follow_user.py)

Purpose: Follows the user who created a specific note by visiting a note URL.

Parameters:

  • note_url (string): The URL of a note by the user to follow

Returns: Success or error message indicating if the follow action was successful

Behavior: Launches browser, navigates to the note URL, clicks the follow button if available, then closes the browser.

Validate Login Status (validate_cookies.py)

Purpose: Checks if the saved authentication tokens are valid and the user is logged in to Xiaohongshu.

Parameters: None

Returns: Boolean value indicating whether login is successful

Behavior: Launches browser, accesses Xiaohongshu homepage with stored credentials, checks for login state.

Manual Login (manual_login.py)

Purpose: Assists in creating valid authentication cookies by opening the login interface.

Parameters: None

Returns: Success or error message after cookies are saved

Behavior: Launches browser, navigates to Xiaohongshu, allows user to log in manually, then saves cookies to storage file.

Publish Note (publish_note.py)

Purpose: Publishes a new image-text note to the user's Xiaohongshu account with provided content, images, and tags.

Parameters:

  • --image-urls IMG1 [IMG2 ...]: Paths to one or more image files to upload with the note (required)
  • --title TITLE: The title for the new note (required)
  • --content CONTENT: The main content text for the new note (required)
  • --tags TAG1 [TAG2 ...]: One or more tags to attach to the note (required)

Returns: Success or error message indicating if the note was published successfully

Behavior: Launches browser, navigates to the Xiaohongshu publish page, fills in the note title, content, tags and uploads provided images, then clicks the publish button.

Examples

Basic Search and Content Extraction

# Validate login status
python scripts/validate_cookies.py

# Search for notes about "旅行攻略"
python scripts/search_note_by_key_word.py "旅行攻略" --top_n 3

# Extract content from a specific note
python scripts/dump_note.py "https://www.xiaohongshu.com/explore/some-note-id"

Basic Liking and Collecting

# Like a specific note
python scripts/like_note.py "https://www.xiaohongshu.com/explore/some-note-id"

# Collect a specific note
python scripts/collect_note.py "https://www.xiaohongshu.com/explore/some-note-id"

Commenting on a Note

# Add a comment to a specific note
python scripts/comment_note.py "https://www.xiaohongshu.com/explore/some-note-id" "Beautiful content! Thanks for sharing."

Following a User

# Follow a user based on one of their posts
python scripts/follow_user.py "https://www.xiaohongshu.com/explore/some-note-by-user-id"

Publishing a Note

# Publish a new note with images, title, content, and tags
python scripts/publish_note.py \
  --image-urls "/path/to/img1.jpg" "/path/to/img2.jpg" \
  --title "My New Post" \
  --content "Check out this amazing discovery!" \
  --tags "travel" "food" "lifestyle"

Complete User Session

# 1. Validate login
python scripts/validate_cookies.py

# 2. Search for interesting content
python scripts/search_note_by_key_word.py "美食推荐" --top_n 5

# 3. Extract detailed content from a note
python scripts/dump_note.py "https://www.xiaohongshu.com/explore/note1"

# 4. Like interesting content
python scripts/like_note.py "https://www.xiaohongshu.com/explore/note1"

# 5. Collect useful content
python scripts/collect_note.py "https://www.xiaohongshu.com/explore/note2"

# 6. Engage with community
python scripts/comment_note.py "https://www.xiaohongshu.com/explore/note3" "Awesome tutorial!"

# 7. Follow good content creators
python scripts/follow_user.py "https://www.xiaohongshu.com/explore/note-by-creator"

Implementation Guidelines

Best Practices

  1. Validate Login First: Login status will be automatically checked using validate_cookies.py before performing any interactions to ensure smooth operations.

  2. Rate Limiting: To avoid account restrictions, implement appropriate delays between consecutive interactions. Avoid excessive rapid interactions.

  3. Error Handling: Check the return values from the functions to ensure operations were successful before proceeding to the next action.

  4. User Intent: Only engage with content that matches user interest and preferences. The skill should complement user decisions.

  5. Browser State Management: The scripts manage browser opening and closing, so ensure system resources are available for these operations.

Integration Considerations

  1. Session Management: The skill maintains session state through cookies stored in rednote_cookies.json. Ensure this file is properly secured.

  2. Browser Automation: The skill uses headless browsers for automation. Ensure the system has a compatible browser environment set up.

  3. URL Format: The scripts expect properly formatted Xiaohongshu URLs. Ensure URLs are valid before passing to functions.

  4. Content Appropriateness: Integrate this skill in a way that ensures interactions are appropriate and align with platform terms of service.

Configuration and Preparation

Advanced Setup

Cookie Management

  • The skill stores authentication data in rednote_cookies.json
  • This file is created automatically during the manual login process
  • For security, protect this cookie file from unauthorized access

Environment Variables

  • No specific environment variables are required
  • The skill uses the default configuration files in the scripts directory

Prerequisites Verification

Before using the rednote skill, verify:

  1. System Setup:

    • Python 3.7 or above
    • Playwright installed (pip install playwright)
    • Browser drivers installed (playwright install)
    • Minimum available disk space for browser operation
  2. Xiaohongshu Access:

    • Ability to access Xiaohongshu.com from your network
    • Compliance with Xiaohongshu's terms of service
    • Valid Xiaohongshu account credentials
  3. Security Setup:

    • The system will handle automatic login when needed
    • Login status will be confirmed via validation script
    • Secured storage for authentication tokens

Troubleshooting

Common Issues

Login Error (❌ 未找到 cookies 文件,请先登录小红书并保存 cookies)

Cause: The rednote_cookies.json file doesn't exist or is not in the correct location. Solution: The system will automatically execute python scripts/manual_login.py to perform manual login and save cookies. The user just needs to complete the login process in the opened browser window.

Login Session Expired (❌ 未登录小红书,请先登录)

Cause: Authentication tokens have expired or are invalid. Solution: The system will re-verify login status and may execute python scripts/manual_login.py again to refresh tokens. The user just needs to complete the login process in the opened browser window if prompted.

Page Navigation Issues

Cause: Network connectivity issues or URL format errors. Solution: Verify URL format is correct, ensure internet connection is stable, and check if Xiaohongshu is accessible.

Element Not Found During Interaction

Cause: Xiaohongshu's UI might have changed or the page hasn't loaded completely. Solution: Retry the operation; if the issue persists, check for interface changes or wait before trying again.

Debugging Steps

  1. Verify Prerequisites: Ensure all requirements are installed and accessible
  2. Check Login Status: Run the validation script before operations
  3. Review URL Format: Ensure URLs are properly formatted Xiaohongshu links
  4. Monitor Browser Behavior: Use non-headless mode to observe the automation process
  5. Check Storage Files: Verify cookies file exists and is accessible

Performance Considerations

  • Browser automation is resource-intensive; ensure system has sufficient memory and CPU
  • Network latency may affect operation timing; consider adding delays between operations
  • Run validation scripts periodically to confirm stable authentication

Limitations and Considerations

Platform Limitations

  • Terms of Service: This skill must be used in compliance with Xiaohongshu's terms of service and community guidelines
  • Rate Limiting: Xiaohongshu may impose limits on the number of interactions per time period
  • UI Changes: Xiaohongshu may update their interface, which could break element selectors used by the skill
  • Geographic Restrictions: Some functionality may be limited based on geographic location

Technical Limitations

  • Browser Dependence: The skill relies on browser automation which may be slower than direct API calls
  • Stability: Browser automation can be affected by network conditions and site changes
  • Resource Usage: Each interaction launches a browser instance, consuming system resources
  • Headless Compatibility: Some interactions may work better in non-headless mode

Security Considerations

  • Authentication Storage: Authentication credentials are stored in rednote_cookies.json and should be secured
  • Privacy: Interactions performed with this skill will be visible to other users on Xiaohongshu
  • Data Handling: The skill doesn't collect user data beyond session management for interaction

Ethical Considerations

  • Authentic Engagement: Use the skill to facilitate genuine engagement with content that users actually find interesting
  • Respect Content Creators: Consider the impact of interactions on content creators and their audience
  • Anti-Spam Ethics: Avoid using the skill for spam-like behavior or in ways that could harm the platform ecosystem
how to use rednote-skill

How to use rednote-skill on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add rednote-skill
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/mrmao007/rednote-skills --skill rednote-skill

The skills CLI fetches rednote-skill from GitHub repository mrmao007/rednote-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/rednote-skill

Reload or restart Cursor to activate rednote-skill. Access the skill through slash commands (e.g., /rednote-skill) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.567 reviews
  • Aisha Torres· Dec 28, 2024

    We added rednote-skill from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Hassan Agarwal· Dec 28, 2024

    rednote-skill is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Pratham Ware· Dec 20, 2024

    Keeps context tight: rednote-skill is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Xiao Menon· Dec 16, 2024

    rednote-skill fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hana Nasser· Dec 12, 2024

    Keeps context tight: rednote-skill is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aisha Diallo· Nov 19, 2024

    rednote-skill reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aisha Ndlovu· Nov 19, 2024

    Solid pick for teams standardizing on skills: rednote-skill is focused, and the summary matches what you get after install.

  • Ava Bhatia· Nov 15, 2024

    Useful defaults in rednote-skill — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Alexander Wang· Nov 15, 2024

    I recommend rednote-skill for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 11, 2024

    rednote-skill has been reliable in day-to-day use. Documentation quality is above average for community skills.

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